Data Engineer
Core
Design, develop, and maintain scalable data pipelines and enterprise data warehouse solutions for client projects.
Role type
Senior Data Engineer (ETL/ELT & Data Warehousing)
Builds
ETL/ELT pipelines, data integration frameworks, and MDM applications
Domain
Enterprise Data Warehousing & Integration
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Teradata SQL, Informatica Power Center, Apache Spark, QueryGrid, Trino, Shell scripting, BTEQ, GCFR, Control-M, Autosys, Java, Hadoop ecosystem tools (Hive, Impala, Kafka, Iceberg, NiFi, Flink), CI/CD pipelines, version control
Preferred skills
SAP (Oracle) data integration, OLR log processing, large-scale distributed computing environments
Technologies
Teradata, Informatica, Apache Spark, QueryGrid, Trino, Control-M, Autosys, Java, Hadoop, Hive, Impala, Kafka, Iceberg, Ranger, Atlas, NiFi, Flink, JIRA, Confluence
Responsibilities
Develop and maintain ETL/ELT code and data pipelines; Build and optimize CDC frameworks; Implement data quality controls and reference data management; Participate in Agile sprint activities; Perform testing and support deployment across environments
Seniority
Senior, hands-on IC
